Lingna Li
Impact in
- Urology top 0.2%
- Hair Growth and Disorders
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Angiogenesis and VEGF in Cancer 8
- Wnt/β-catenin signaling in development and cancer 6
- Urology 23
- Hair Growth and Disorders 23
- Co-authors
- Robert M. Hoffman (38 shared papers)Sheldon Penman (9 shared papers)Yasuyuki Amoh (22 shared papers)Kensei Katsuoka (19 shared papers)Meng Yang (8 shared papers)Ping Jiang (7 shared papers)A. R. Moossa (8 shared papers)Meng Yang (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (9 papers)Cancer Research (6 papers)Blood (4 papers)The Prostate (3 papers)Journal of Dermatological Science (3 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Lingna Li
72 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 115
- Urology 774
- Developmental Neuroscience 350
- Biotechnology 740
- Dermatology 305
- Rehabilitation 171
Countries citing papers authored by Lingna Li
This map shows the geographic impact of Lingna Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lingna Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingna Li more than expected).
Fields of papers citing papers by Lingna Li
This network shows the impact of papers produced by Lingna Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lingna Li. The network helps show where Lingna Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingna Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 418 | |
| 2 | 2005 | 343 | |
| 3 | 2003 | 298 | |
| 4 | 2005 | 251 | |
| 5 | 2004 | 179 | |
| 6 | 2003 | 163 | |
| 7 | 1995 | 156 | |
| 8 | 2008 | 124 | |
| 9 | 2005 | 122 | |
| 10 | 2011 | 121 | |
| 11 | 2001 | 111 | |
| 12 | 2004 | 102 | |
| 13 | 2013 | 102 | |
| 14 | 1996 | 84 | |
| 15 | 1998 | 80 | |
| 16 | 1997 | 66 | |
| 17 | 2005 | 66 | |
| 18 | 1997 | 49 | |
| 19 | 1999 | 45 | |
| 20 | 2006 | 45 |
About Lingna Li
Lingna Li is a scholar working on Molecular Biology, Urology, Hematology, Biotechnology and Oncology, having authored 82 papers that have together received 3.5k indexed citations. Recurring topics across this work include Hair Growth and Disorders (23 papers), Multiple Myeloma Research and Treatments (17 papers), Cancer Research and Treatments (12 papers), Angiogenesis and VEGF in Cancer (8 papers), Nerve injury and regeneration (8 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Wnt/β-catenin signaling in development and cancer (6 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). The work is most often cited by research in Urology (774 citations), Developmental Neuroscience (350 citations), Biotechnology (740 citations), Dermatology (305 citations) and Rehabilitation (171 citations). Lingna Li has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Robert M. Hoffman, Sheldon Penman, Yasuyuki Amoh, Kensei Katsuoka, Meng Yang, Ping Jiang, A. R. Moossa, Meng Yang, Michael Bouvet and Eugene Baranov. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Research, Blood, The Prostate and Journal of Dermatological Science.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.